| 2026 | ISKE | AE-UVNet: An Attention Enhanced Hybrid Architecture Using U-Net and V-Net for Multimodal Brain Tumour Segmentation. | Haolan Zou, Aditya Anil, Maoying Qiao |
| 2025 | AAAI | QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception. | Fei Gao, Ying Zhou, Ziyun Li, Wenwang Han, Jiaqi Shi, Maoying Qiao, Jinlan Xu, Nannan Wang |
| 2025 | ICASSP | MAJoR: Visual Emotion Analysis via Multi-Attribute Joint Reasoning. | Yuxin Fei, Jinlan Xu, Maoying Qiao, Fei Gao |
| 2025 | ICCV | Q-Norm: Robust Representation Learning via Quality-Adaptive Normalization. | Lanning Zhang, Ying Zhou, Fei Gao, Ziyun Li, Maoying Qiao, Jinlan Xu, Nannan Wang |
| 2025 | WACV | Disentangle Source and Target Knowledge for Continual Test-Time Adaptation. | Tianyi Ma, Maoying Qiao |
| 2024 | CVPR | Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline. | Yu Chen, Fei Gao, Yanguang Zhang, Maoying Qiao, Nannan Wang |
| 2024 | ICASSP | Learning Discriminative Style Representations for Unsupervised and Few-Shot Artistic Portrait Drawing Generation. | Junkai Fang, Nan Fang, Fei Huang, Jinglin Zhou, Maoying Qiao, Fei Gao |
| 2024 | ICRA | Human-Robot Interactive Creation of Artistic Portrait Drawings. | Fei Gao, Lingna Dai, Jingjie Zhu, Mei Du, Yiyuan Zhang, Maoying Qiao, Chenghao Xia, Nannan Wang, Peng Li |
| 2022 | AAAI | Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. | Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu |
| 2021 | CHI | Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps. | Haifeng Shen, Kewen Liao, Zhibin Liao, Job N. Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans |
| 2020 | AAAI | Diversified Bayesian Nonnegative Matrix Factorization. | Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao |
| 2020 | DICTA | Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded Learning with Real and Synthetic Radiographs. | Dadong Wang, Yulia Arzhaeva, Liton Devnath, Maoying Qiao, Saeed Amirgholipour, Qiyu Liao, Rhiannon McBean, James Hillhouse, Suhuai Luo, David Meredith, Katrina Newbigin, Deborah Yates |
| 2017 | IJCAI | Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic. | Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao |
| 2016 | CVPR | Conditional Graphical Lasso for Multi-label Image Classification. | Qiang Li, Maoying Qiao, Wei Bian, Dacheng Tao |
| 2016 | ICDE | Diversified hidden Markov models for sequential labeling. | Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao |